{"id":"https://openalex.org/W1520325657","doi":"https://doi.org/10.1007/978-3-642-19318-7_53","title":"Latent Gaussian Mixture Regression for Human Pose Estimation","display_name":"Latent Gaussian Mixture Regression for Human Pose Estimation","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W1520325657","doi":"https://doi.org/10.1007/978-3-642-19318-7_53","mag":"1520325657"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-19318-7_53","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-19318-7_53","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018868797","display_name":"Yan Tian","orcid":"https://orcid.org/0000-0002-7416-656X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Yan Tian","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, P.R. China","Carnegie Mellon University, Pittsburgh, US","Beijing University of Posts and Telecommunications, Beijing, P.R. China and Carnegie Mellon University, Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, P.R. China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, US","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, P.R. China and Carnegie Mellon University, Pittsburgh","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053011888","display_name":"Leonid Sigal","orcid":"https://orcid.org/0000-0002-3942-2804"},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leonid Sigal","raw_affiliation_strings":["Disney Research, Pittsburgh, US","Disney Research Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Disney Research, Pittsburgh, US","institution_ids":["https://openalex.org/I4210142140"]},{"raw_affiliation_string":"Disney Research Pittsburgh","institution_ids":["https://openalex.org/I4210142140"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077152821","display_name":"Hern\u00e1n Badino","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hern\u00e1n Badino","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, US","Carnegie Mellon University. Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, US","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University. Pittsburgh","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108127869","display_name":"Fernando De la Torre","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fernando De la Torre","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, US","Carnegie Mellon University. Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, US","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University. Pittsburgh","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100659487","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0002-1862-3121"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, P.R. China","Beijing University of Posts & Telecommunications, Beijing P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, P.R. China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts & Telecommunications, Beijing P.R. China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018868797"],"corresponding_institution_ids":["https://openalex.org/I139759216","https://openalex.org/I74973139"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":5.5457,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.96979957,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"679","last_page":"690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7066184282302856},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6729425191879272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6097817420959473},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5911330580711365},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5582406520843506},{"id":"https://openalex.org/keywords/latent-variable-model","display_name":"Latent variable model","score":0.5256770253181458},{"id":"https://openalex.org/keywords/conditional-probability-distribution","display_name":"Conditional probability distribution","score":0.5197117328643799},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4861426055431366},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44491568207740784},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.43658989667892456},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.42770132422447205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41700971126556396},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.41052454710006714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2197536826133728},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.09920945763587952},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09869790077209473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7066184282302856},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6729425191879272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6097817420959473},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5911330580711365},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5582406520843506},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.5256770253181458},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.5197117328643799},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4861426055431366},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44491568207740784},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.43658989667892456},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.42770132422447205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41700971126556396},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.41052454710006714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2197536826133728},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.09920945763587952},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09869790077209473},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-642-19318-7_53","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-19318-7_53","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.207.7018","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.7018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ca.cs.cmu.edu/projects/lgmr/lgmr.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1541825479","https://openalex.org/W1608304634","https://openalex.org/W1643263348","https://openalex.org/W1971713783","https://openalex.org/W2019711501","https://openalex.org/W2024935685","https://openalex.org/W2025341678","https://openalex.org/W2049819452","https://openalex.org/W2099338527","https://openalex.org/W2103025041","https://openalex.org/W2113459360","https://openalex.org/W2113469957","https://openalex.org/W2126553322","https://openalex.org/W2128638437","https://openalex.org/W2131432112","https://openalex.org/W2132026986","https://openalex.org/W2144167645","https://openalex.org/W2146310005","https://openalex.org/W2151598303","https://openalex.org/W2152386463","https://openalex.org/W2152926413","https://openalex.org/W2154872931","https://openalex.org/W2158268505","https://openalex.org/W2158638750","https://openalex.org/W2165876389","https://openalex.org/W2304763730"],"related_works":["https://openalex.org/W2242083226","https://openalex.org/W1603253275","https://openalex.org/W2763292376","https://openalex.org/W1514645777","https://openalex.org/W2884410131","https://openalex.org/W111011176","https://openalex.org/W2138996412","https://openalex.org/W2906932471","https://openalex.org/W2097596242","https://openalex.org/W2270140793"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}